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% Runge-Kutta simulation of flow experiment:
warning off
% frequency of sinusoidal activation paradigm:
freqHz = 0.1; % hz
Ttag = 0.9; % seconds
phase = 0;
doFigs=1;
waveform='sinusoid'
freq = freqHz*2*pi ; % change to rads/ sec.
SECONDS = 1000; % step size =10 points / second
dt = 1/SECONDS... |
function image = filterim( im )
% Performs some image filtration
im = medfilt2(im,[2,2]) - imgaussfilt(im, 900);
im = mat2gray(im);
im = ordfilt(im, 4, true(2));
im = im - stdfilt(im);
im = im -rangefilt(im);
level = graythresh(im);
h = special('gaussian');
se = strel('sphere',6);
im= imdilate(im, se);
im = imerode(i... |
%Volumen de cinco esferas
for r=1:5
vol = (4/3)*pi*r^3;
disp([r, vol])
end; |
function skinColorRatio = skinColorRatio(I)
height = size(I,1);
width = size(I,2);
%Convert the image from RGB to YCbCr
img_ycbcr = rgb2ycbcr(I);
Cb = img_ycbcr(:,:,2);
Cr = img_ycbcr(:,:,3);
%Detect Skin
[r,c,v] = find(Cb>=77 & Cb<=129 & Cr>=125 & Cr<=173);
skincolor = size(r,1);
%Mark Skin ... |
function [r, var, Rmeans] = varRatio(NVec, vertPotCell, SolCell)
var = zeros(length(NVec) + 1);
idx = cumsum(NVec);
idx = [0 idx];
Rmeans = cell(length(NVec)+1,1);
for i = 1:length(NVec)
[var(i), Rmeans{i}] = var_SO3(SolCell(idx(i)+1:idx(i+1)), vertPotCell(idx(i)+1:idx(i+1)) );
end
[var(end), Rmeans{end}] = var_S... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% This is the sub-function for calculating the frequencies for the
% complementary elements, because the frequency for the underlying
% parameter has been set as the OmegaMax
%
% Input:
% paraDim: ... |
function plot_log_int(h,t,x)
% Plotting the L1 norm of the solution
y1 = h(1:end/2,:);
y2 = h(end/2+1:end,:);
xStep = x(2)-x(1);
plot(t, log10(abs(sum(y1,1).*xStep)));
xlabel('t');
ylabel('L_1');
title('The evolution of \int \eta_i dx in time')
%figure;
... |
function [wellLog] = stp8CalcWellLog(fileName, targetDep, distInv)
% 这是一个计算测井曲线的函数
%
% 输出
% wellLog 输出的测井曲线，当前是一个3列的矩阵，[深度，vp(m/s)，vs(m/s)，密度]
%
% 输入
% fileName segy文件
% targetDep 目的层深度
% distInv 采样间隔，上下各扩张多少米
% timeInv 采样时间，每隔多少毫秒输出一次
%
% 范例
% stpCalcWellLog('E:\苏里格\SuligeInversion\SU59-13-4... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Vortex_var: basic statistics
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%Compute association between medication and learning rate in patients
%% LOAD DATA
clc
clear
close all
% More variables
Vortex_load;
Vortex_variables; % create some variables
%% Define more stuff
signif ... |
%Convert complex diagonal form to real block diagonal form
function [V,D] = complexDiagToRealDiag(A)
[V D] = eig(A);
[V D] = cdf2rdf(V,D); |
classdef PolygonsManagerMainFrame < handle
%POLYGONSMANAGERMAINFRAME Class that creates the main frame of the application
%
% Creation :
% figure = PolygonsManagerMainFrame;
%
%% Properties
properties
% PolygonsManagerData that contains all the data of the application
model;
% struct containing the h... |
clear
f1 = 1000;
f2 = 4*f1;
fs = 44100;
tlen = 1;
fm = 4;
phi_deg = 90;
dichotic = 0;
risetime = .125;
[stim_fm] = FM_phi(f1,f2,fs,tlen,fm,phi_deg,dichotic,1);
[stim_am] = SAM_phi(f1,f2,fs,tlen,fm,phi_deg,dichotic,0);
phi_rad = (phi_deg/360) * 2*pi;
t = 0:1/fs:tlen-1/fs;
x = 0.5+ 0.5*sin(2*pi*fm.*t);
y = 0.5+ 0.5*si... |
classdef location_holder < handle
properties
loc_table;
loc_index;
number_of_active_locations;
active_locations;
locations_in_database;
end
methods
function obj = location_holder(location_filename)
fid = fopen(location_f... |
% Michael Miller
% ENGR 297 - MATLAB Project Part 2
% April 26, 2016
clear all;
close all;
clc;
bone = imread('mouse_femur.jpg');
binary = zeros(496);
lower = input('enter lower threshold percentage limit[0-100]: ')/100;
upper = input('enter upper threshold percentage limit[0-100]: ')/100;
%Determin... |
% Seleccionar ficheiro de dados e interpretar a matriz fornecida:
% O programa apresenta ao utilizador os nomes de todos os
% ficheiros .mat disponíveis na directoria de trabalho, pede ao
% utilizador para introduzir o nome (com extensão .mat) de um deles.
% Em seguida carrega o ficheiro pretendido para o processar, e ... |
function[result]=PCR(X_train,Y_train,X_test,Y_test,k)
%% IV. 主成分分析
% 1. 第一主成分vs.第二主成分
figure
[PCALoadings,PCAScores,PCAVar] = princomp(X_train);
plot(PCAScores(:,1),PCAScores(:,2),'r+')
hold on
[PCALoadings_test,PCAScores_test,PCAVar_test] = princomp(X_test);
plot(PCAScores_test(:,1),PCAScores_test(:,2),'o')
xlabel('1s... |
global epsZero;
epsZero = 1000*eps;
r = 1;
G = @(x,y) 0.1*x.^2+y.^2-r^2
dGx = @(x,y) 0.2*x
dGy = @(x,y) 2*y
stepwidth = 10^-2
phi = 0
x0 = 0
y0 = 1
h = 10^-1*2
[x y] = implicitCurve(G, dGx, dGy, x0, y0, 4.5*pi*r, h,h); % hier geht was schief, bei 100 geht's noch
plot(x,y);
hold on
[x y] = implici... |
omega = 7.2921150E-5;
phi = 0.872665;
g = 9.81;
l = 8;
wo = sqrt(g/l);
r = 6371397; %m
time = 2*60*60; %2 hours in sec
h = 0.1;
t = 0;
x = zeros(time/h+1,0);
y = zeros(time/h+1,0);
x_actual = zeros(time/h+1,0);
y_actual = zeros(time/h+1,0);
m = zeros(time/h+1,0);
n = zeros(time/h+1,0);
t_vector = zeros(time/h+1,0);... |
close all
load('Data')
% Parameters inferred from data scaling
mu{1} = 0.5;
mu{2} = 3.5;
% Parameters inferred from cumulative velocity
lambda{1} = 1;
lambda{2} = 3;
% Initialization
GroupsNumber = length(fieldnames(Data))-1;
GroupsNames = fieldnames(Data);
flux = cell(length(GroupsNumber),1);
PrimStartFlux = cell(... |
function img = backProjectMex( sino, geom, M, i, projType, map )
% Backward projection using distance driven method with ordered subset in 2D
% and 3d. Exact traspose to the forwardProjectDistanceDrivenMex
% input:
% sino - projection result aka sinogram
% geom - system geometry
% M - number ... |
function S = sumNN(spins, i, j)
S = spins((i-1), j) +...
spins((i+1), j) +...
spins(i, (j-1)) +...
spins(i, (j+1));
end
|
function analyzeMultiFiles(field)
%% Get paths to data files
[fName,fDir,fFilter] = uigetfile('*.txt;*','Open data file',...
'C:\Users\debivort\Documents\MATLAB\Decathlon Raw Data','Multiselect','on');
%% Iterate through each data file
if iscell(fName)
nGroups=length(fName);
else
nGroups=1;
end
if nGrou... |
% Clayton Kirberger
% Final Project
% PY 525
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This program is designed to return optimal launch parameters for a
% spacecraft leaving from Earth
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% !!!!!! TO DO !!!!!... |
function [ output_args ] = copyFileFolder
%copyFileFolder - do stuffto copy a folder, and also a specific file from
%the Z drive to the local drive.
% Where from?
%orig = '/Volumes/Seagate Expansion Drive/PhD DATA/SOTON -ve/';
%orig = '/Volumes/Data/Lab Data/Liver/PBC/H5 files and row data/';
orig = '/Volumes/Data/Lab... |
function out = funk4(funk3, a, b)
% This function references our class lecture from 7/7/15 -> the function plots funk3, with a and b as xmin and xmax, and also takes funk3((-6 + 6) / 2), which returns -8 since x becomes 0
fplot(funk3, [a b])
out = funk3((a+b) / 2)
end |
clear all
close all
dx=.2e-6;dy=.2e-6;
length=20e-6; breadth=10e-6;
N=round(length/dx);M=round(breadth/dy);
l_core=10e-6;b_core=5e-6;
a=dx^-2;b=dy^-2;
lambda=1.550e-6;
k=2*pi/lambda;
x=[1:N]*dx;
y=[1:M]*dy;
n0=1;
p0=k^2*n0^2-2*a;
n1=3.5;
p1=k^2*n1^2-2*a;
A=zeros(N*M);
for i=1:N*M
A(i,i)=p0;
end
for j=1:(M... |
function ContactDetection_PW(dGap)
%--------------------------------------------------------------------------
% All copyrights reserved @ 2014-2050 Dr. Gaofeng Zhao
% TIANJIN UNIVERSITY (China)
% Email: dicetju@qq.com
%--------------------------------------------------------------------------
% P2W Contact Dete... |
%Example 3.24
%
clf reset;
setfsize(400,400);
echo on
clc
P = [-3 -2 -2 0 0 0 0 +2 +2 +3;
0 +1 -1 +2 +1 -1 -2 +1 -1 0];
C = [1 1 1 2 2 2 2 1 1 1];
T = ind2vec(C);
pause % Strike any key to plot these data points...
clc
colormap(hsv)
plotvec(P,C)
title('Input Vectors')
xlabel('P(1)')
ylabel('P(2)')
pause % ... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%Developer: Kartik S. Pandya, PhD (email: kartikpandya.ee@charusat.ac.in)
%Professor, Dept. of Electrical Engg., CSPIT, CHRUSAT, Gujarat, INDIA
% Improved Chaotic Differential Evolutionary Particle Swarm Optimization (I-C-DEEPSO) algorithm as
... |
function [T1, T2] = ExtractTSFromRamaPrelim(ramaname, ChipodDepth)
rama = load(ramaname);
[z1,z2] = ChooseDepthLevels(floor(rama.depth), ChipodDepth);
disp(['RamaPrelim: Choosing depths at ' ...
num2str(rama.depth([z1, z2]), '%d m ')])
T1.time = rama.time;
T1.S = rama.sal(z1,:);
T1.... |
% 05-2012
% Victor Barres
% USC Brain Project
% Script to display dipoles boxcar functions
function disp_dBoxcar(varargin)
if isempty(varargin)
simName = getSimName();
else
simName = varargin{1};
end
simPath = sprintf('simulations\\%s',simName);
load(sprintf('%s\\dBoxcar',simPath));
numPlot = length(dBoxcar... |
function [all_theta] = oneVsAll(X, y, num_labels, lambda)
% Trains logistic regression for multiple classifiers and returns all
% weight parameters of classifiers in a matrix all_theta
% Input: X - training dataset (row = training examples, columns =
% features)
% y - training labels (r... |
%steady state values for mediumscale.mod
load param_mediumscale;
%Tech Shock
A_ss = 1;
%MEI Shock
Z_ss = 1;
%Inter Pref Shock
nu_ss = 1;
%gross inflation
Pi_ss = 1;
%price level
P_ss = 1;
%gross interest
R_ss = Pi_ss/beta;
%capital utilization (imposed)
u_ss = 1;
%multipliers are equal in SS. lambda_1_ss = lam... |
function processAnimation(gates,initialState)
% ...
% Copyright 2017 Yulin Wu, University of Science and Technology of China
% mail4ywu@gmail.com/mail4ywu@icloud.com
rotStep = 2*pi/100;
if nargin < 2
initialState = sqc.qs.state('|0>');
else
if ~isa(initialState,'sqc.qs.state')
... |
%Example 3.28
%
clf;
figure(gcf)
setfsize(600,400);
echo on
clc
% INITLIN - 对线性层进行初始化
% ADAPTWH - 采用Widrow-Hoff规则对线性进行训练
pause % 键入任意键继续..
clc
time1 = 0:0.05:4; % from 0 to 4 seconds
time2 = 4.05:0.024:6; % from 4 to 6 seconds
time = [time1 time2]; % from 0 to 6 seconds
T = [sin(time1*4*pi) sin(time2*8*p... |
%% SCRIPT_Test_distSegmentSegment
clear all
close all
clc
%% Create figure
fig = figure;
axs = axes('Parent',fig);
hold(axs,'on');
view(axs,3);
daspect(axs,[1 1 1]);
xlabel(axs,'x');
ylabel(axs,'y');
zlabel(axs,'z');
sg1 = plot(axs,0,0,'o-r'); % Segment 1
sg2 = plot(axs,0,0,'o-b'); % Segment 2
dst = plot(axs,0,0,'-... |
%% Stelling 22
%
% De and-operator geeft ook een true (logische 1) terug als
% de twee operands bestaan uit een string en een nul.
%
Antwoord = 0;
|
clear all; close all;
%%
% Correction of Example 2 using SYMBOLIC COMPUTING just to be close from
% the correction. OF COURSE DO NOT USE IN FEA, E A L will have values !!!
%
%
syms E A L
alpha=E*A/L
k=alpha*[1 -1;-1 1]
%2 orientations 45;135°
%can also use symbolic here
%theta1 = sym([pi/43])
theta1=pi/4;
l1=c... |
% $Header: svn://.../trunk/AMIGO2R2016/Postprocessor/Post_Plot/AMIGO_plot_sens_old.m 770 2013-08-06 09:41:45Z attila $
% AMIGO_plot_sens: plots parametric sensitivities vs time
%
%******************************************************************************
% AMIGO2: dynamic modeling, optimization and control of biolo... |
function disp_ellipse_stats(P,x0_AA,E_AA,x0,E)
x0_AA = [x0_AA,1-sum(x0_AA)];
x0 = [x0,1-sum(x0)];
palette_size = length(x0_AA);
% DISPLAY FINAL PROPERTIES
disp('AA center');
disp(num2str(x0_AA));
if (sum(x0_AA(1:end-1))>1)
disp('Do not use center. Other feasible points exist');
end
disp('Intervals');
disp(num2str... |
function VY=coeficienteV_Y(a,b,c,d,gamma,tol)
%--------------------------------------------------------------------------------
% Propósito : Esta función calcula el valor del coeficiente que acompaña a
% la varianza del termino de error en el calculo de la
% varianza de la desviacion del pro... |
%[t,x] = ode45(@fun,[0 20],[2; 0]);
%plot(t,x(:,1),'-o',t,x(:,2),'-o')
%title('Solution for (\mu = ) with ODE45');
%xlabel('Time t');
%ylabel('Solution x');
%legend('x_1','x_2');
ni=0.2;
[t1, x1]= ode45(@(t,x) fun(t,x,ni),[0 10], [0 1]);
ni=1;
[t2, x2]= ode45(@(t,x) fun(t,x,ni),[0 10], [0 1]);
ni=5;
[t3, x3]= ode45(@... |
function incre_pose = twistexp(increment)
% calculate the increment pose
%
% INPUT:
% increment: a vector as [wx, wy, wz, tx, ty, tz]
%
% OUTPUT:
% incre_pose: a [4, 4] matrix about the rigid transformation
wx = increment(1);
wy = increment(2);
wz = increment(3);
incre_pose = eye(4);
incre_pose(1:3, 4) = incremen... |
% Demo for IGARSS 2018 paper 'COVARIANCE MATRIX BASED FEATURE FUSION FOR REMOTELY SENSED SCENE CLASSIFICATION'
% written by Nanjun He (henanjun@hnu.edu.cn)
clear;clc;
%% load data
dataset_name = 'UCM21';
img_type = '*.tif';
rt_img_dir = ['D:\matlab_work_folder\classification\Scene_classification\Scene_data\',dataset_n... |
laser=load("laserdataset.m");
%measurement matrix
Z=zeros(4,size(laser,1));
Z(1:2,:)=laser'(1:2,:);
Z(3:4,:)=laser'(3:4,:);
%COMPUTE ERROR BEFORE
fullerror=0;
for i=1:size(laser,1)
fullerror+=(laser(i,1)-laser(i,3))^2;
endfor
fullerror
%initial guess solution
x=[0.001,0.001];
%alignement loop
iterations=100;
plo... |
function value = statistic(varargin)
value = feval(varargin{:});
function value = initialise
value = -1;
function value = fetch_data(expname);
global rsc
sp = StatPacket;
source_offset = num2str(sp.offset_source);
amtype_offset = num2str(sp.offset_amtype);
data_length = sp.DEFAULT_MESSAGE_SIZE - rsc.amsize... |
% clear;
% clc;
ncoil = 1;
rootdir = '/home3/HWGroup/wangfw/BSTry2/B1000Multi_Coil_Co/';
tnames = {'di_yuchang','gao_ning','liang_jianqing','liu_yan','yan_jinlong','zhou_xiaofeng'};
b1K = [];
b1k = [];
for i = 1:length(tname)
for j = 1:length(tname)
tname = tnames(i);
load([rootdir,t... |
%% Scientific Computing HT Assignment 4
% Name: Aili Shao
%% Q1 Smallest eigenvalue of quartic Schrodinger problem
% -u_xx+x^4u=lambda u
format compact;
% Build the operator matrix using finite difference
h = 0.001; % small gird size to ensure higher accuracy
x = (-5:h:5)';
m=length(x... |
%% Analise results
mkdir(directoryoutputresults);
directoryoutputlist = dir(diroutput);
binsfolders = [];
for binfolderind = 1:max(size(directoryoutputlist))
binfolder = directoryoutputlist(binfolderind);
binfoldername = binfolder.name;
if ~(strcmp(binfoldername, 'results') | strcmp(binfoldername, '.') |... |
function [fig1, fig2, fig3] = ov(h,d,x,y,z,roi,cmap)
%function [fig1, fig2, fig3] = ov(h,d,x,y,z,roi)
stretch = h.zsize/h.xsize;
fig1=subplot (221);
image(squeeze(d(:,:,z)));
colormap(cmap);
axis ([1 h.ydim 1 h.xdim]);
axis xy;
fig2=subplot (222);
image(squeeze(d(:,y,:))');
colormap(cmap);
axis ([1 ... |
clear; close all; clc;
% Fix stream of random numbers
s1 = RandStream.create('mrg32k3a','Seed', 50);
s0 = RandStream.setDefaultStream(s1);
p = 150; % number of variables
nc1 = 100; % number of observations per class
nc2 = 100; % number of observations per class
nc3 = 100; % number of observations per class
... |
x0 = -3/4;
y0 = 1;
m_iteration=10000;
x=zeros(2,m_iteration+1);
gradient=zeros(2,1);
gamma=[];
v=[];
record_lost = [];
record_1 = [];
record_2 = [];
alpha = 0.3;
beta = 0.5;
for i =1:m_iteration
if(i==1)
x(1,i)=x0;
x(2,i)=y0;
end
gradient(1) = -400*x(1,i)*(x(2,i)-x(1,i)^2... |
function statusLogging(log_listbox_handle, log_text)
% This function pushes the text in log_text to the log window specified by
% its handle log_listbox_handle. This function appends the log window text.
%
% The input log_text should be formated as a cell array, containing each
% line of text as a row in the arra... |
% This is the main file, it will run findVanishingPoint() function on all
% the images in 'dname' folder and save the results to the avi file
% in the working folder.
clear all; close all;
dname = '../../images/frames/asphalt';
% dname = '../../images/frames/indiana';
files = dir(dname); files(1) = []; files(1) ... |
function visualize_filters()
input_file = '/data/mamdouh/nist/c3dmodel/p12w1n1c0/io/test/test167_balanced_features.dsbdn6';
input_file = '/data/mamdouh/nist/scripts/filters_visualization/io/visualize_features.txt';
input_file = '/data/mamdouh/nist/scripts/filters_visualization/io/synthetic_ucf_features.dsbdn6';
f... |
function Animatrik2LabTRC( trcInFile, MarkerRotateList )
%ANIMATRIK2LABTRC Scales Animatrik TRC file into meters
% More importantly, the list passed in as a second parameter will
% enforce a -90 degree rotation about x on those markers.
% mm -> m
TRCPreScale = 0.1 * FbxModel.PreScale;
... |
function output_construct_names( construct_names, construct_name )
keys_file = [construct_name,'_keys.txt'];
fprintf( 'Creating Keys file: %s\n',keys_file);
fid = fopen( keys_file,'w');
for i = 1:length( construct_names )
fprintf( fid, '%s\n', construct_names{i} );
end
fclose( fid ); |
function log_norm = log_normal(x,mu,variance)
%log normal up to a constant of proportionality
log_norm = -((x-mu).^2)./(2.*variance);
end |
% 给每一个运行结果都画一张xz图片
clear
figure
mkdir('../pictures')
d = dir('../orbit_results');
isub = [d(:).isdir]; % returns logical vector
name_folds = {d(isub).name}';
name_folds(ismember(name_folds,{'.','..'})) = [];
var1_num = 2; % 第一个自变量的数目, 这里是磁面
var2_num = 6; % 第二个自变量的数目, 这里是磁面
% poin_dir = './poincare.plt';
% poincare = l... |
function S = int_overlap(basis)
% S = int_overlap(basis)
%
% Input:
% basis basis information, as obtained by buildbasis
% Output:
% S MxM matrix of overlap integrals
M = numel(basis);
S = zeros(M);
for i = 1:M
for j = 1:M
% Loop over primitives for each i,j pair
for k = 1:num... |
function [metaSample,metaClass]=computeMetaSample(trainSet,trainClass,option)
% Compute metasamples for each class using SVD. This function is used by
% MSRC.
% trainSet: matrix, each column is a training sample
% trainClass: numeric column vector, the class labels of the training samples
% option: struct, with fi... |
function [sssMACD] = macd(price,short,long,signal)
% Function to calculate the KDJ
[allMACD]= indicators(price,'macd',12,26,9);
MACD=allMACD(:,1);
Signal=allMACD(:,2);
T=length(price);
S=zeros(T,1);
for i=1:T;
if (MACD(i)< Signal(i)) S(i)=-1;
elseif(MACD(i)>Signal(i)) S(i)=1;
else S(i)=0;
... |
%%
gradx=@(x) [zeros(size(x,1),1),x(:,2:end)-x(:,1:end-1)];
grady=@(x) [zeros(1,size(x,2));x(2:end,:)-x(1:end-1,:)];
prepdivx=@(x) [x(:,2) , x(:,3:end)-x(:,2:end-1),-x(:,end)];
prepdivy=@(x) [x(2,:) ; x(3:end,:)-x(2:end-1,:);-x(end,:)];
div=@(x,y) prepdivx(x)+prepdivy(y);
|
function lineMenu = plot_timeseries(timestamp,data,sensor_index,tmin,tmax,datmin,datmax,bound,zeroJan1,t_unit,linestyle)
%plot_timeseries(timestamp,data,sensor_index,tmin,tmax,datmin,datmax,bound,zeroJan1,t_unit)
%plots cell array time series data for multiple sensors
%Input format:
%timestamp: a structure correspondin... |
Connect = fred;
data = fetch(Connect, 'DEXUSEU','01/01/2014','06/01/2014'); |
function [fm,ide,obs, sa, om]=optical_pointing(d, filename)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% % [fm,ide,obs]=optical_pointing(d, filename)
% function should give us an optical pointing model.
%
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% create some easi... |
%ZEITLÍSUNG:
%ohne Anfangswerte!
function [x]=trajectorie(A)
[eigenvector, eigenwert] = eig(A)
lambda1 = eigenwert(1,1)
lambda2 = eigenwert(2,2)
%eigenwert1:
v = eigenvector(1, 1:2)
w = eigenvector (2, 1:2)
hold on
for i = -20:1:20
C1 = i;
C2 = C1;
t = -30:0.1:30;
x1 = C1*v(1)*exp(lambda1*t)... |
% WPCUTREE ウェーブレットパケットツリーのカット
%
% T = WPCUTREE(T,L) は、レベル L のツリー T をカットします。
%
% 加えて、[T,RN] = WPCUTREE(T,L) は、再構成側のノードのインデックスを
% 含むベクトル RN を出力します。
%
% 参考 WPDEC, WPDEC2.
% M. Misiti, Y. Misiti, G. Oppenheim, J.M. Poggi 12-Mar-96.
% Last Revision: 23-May-2003.
% Copyright 1995-2004 The MathWorks, Inc.
|
classdef Display < handle
% Creates a figure depicting a model
%
% @author omar @date 2017-06-01
%
% Copyright (c) 2017, UMICH Biped Lab
% All right reserved.
%
% Redistribution and use in source and binary forms, with or without
% modification, are permitted only in compliance wit... |
function ran = AddHiddenUnit(ran, input, current_error, current_min_distance)
ran.hidden_dimension = ran.hidden_dimension + 1;
ran.unit_centers = [ran.unit_centers input];
ran.Wout = [ran.Wout current_error];
ran.spread_constants = [ran.spread_constants; ...
ran.parameter.OVERLAP_FACTOR * current_min_dist... |
function flag = scenario_test(scenario)
whole_num = size(scenario,1);
range = scenario(1);
range_rate = scenario(2);
v = scenario(3);
a_list = scenario(4:end);
flag = value_function3_test_FVDM(range,range_rate,v,a_list);
end
|
function [xy, uv, scaledBaseline] = get3D(imgA, imgB, x, y, descript, siftsize)
% imgsize
imsize = size(imgA);
matched = 0;
matchedIndexes = zeros(2, siftsize);
for keypointA = 1:siftsize
% 1xy = [round(x(1,keypointA)) round(y(1,keypointA))];
distances = descript(2, :, :) - descript(1, keypointA, :);
... |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Visualization: Generate a full prediction curve for *means* and *stdev*
% of contrast images at different divnorm parameters
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Set up params and figure
r = 1;
s =... |
nInstances = length(unique(imdb.images.sid));
nViews = length(imdb.images.name)/nInstances;
nDescPerShape = size(feat.x,1)/nInstances;
shapeGtClasses = imdb.images.class(1:nViews:end);
shapeSets = imdb.images.set(1:nViews:end);
nDims = size(feat.x,2);
% train & val
trainSets = {'train','val'};
testSets = {'t... |
%%compute error from confusion
a = [83 246
301 60];
d = max(a, [], 2);
s = sum(a, 2);
e = mean( d./s)
|
clc ; clear; %close all;
load train_model_new.mat
work_path = pwd;
max_stage = 5;%迭代最大阶段数
Radius = [0.4 0.3 0.2 0.15 0.1];
%dbnames={'Helen','LFPW','IBUG'};%选择要测试的数据库
dbnames={'LFPW'};%选择要测试的数据库
num_points=size(meanshape,2)/2;max_depth=5;
disp('step1:读pts及图片');
%[imgTr,realshapes,imgpathlists]=resizeimg(dbnames,'test'... |
function [H,theBin,rho] = houghVotes(edgeImg)
%Define the theta bin
theBin = -90:89;
% Find the maximum possible d: diagnol length of the image
d = sqrt(size(edgeImg,1)^2 + size(edgeImg,2)^2);
% Define step size for rhoBin matrix
rStep = 1;
% Define rho range
rho = -d:rStep:d;
% Rescale rho
rhoBin = 0:rStep:c... |
clc;clear;close all;
%% 问题1
A = [10^-8 2 3;-1 3.712 4.623;-2 1.072 5.643];
b = [1 2 3];
x11 = gaussCal(A,b); % 高斯消去法
x12 = gaussExCal(A,b); % 高斯列主元消去法
%% 问题2
A = [4 -2 4;-2 17 10;-4 10 9];
b = [10 3 7];
x21 = gaussCal(A,b); % 高斯消去法
x22 = gaussExCal(A,b); % 高斯列主元消去法
|
% Base class for uncertainties associated with external wrench disturbances
%
% Author : Chen SONG
% Created : 2017
% Description :
% Base class for uncertainties associated with external wrench disturbances
classdef (Abstract) ExternalWrenchUncertaintyBase < PreUpdateUncertaintyBase
properties
... |
function [kmer,kmernor] = Kmercount(k)
Seq=Seqread();
L=['A','C','G','T'];
num = 4.^k;
F=[];
for ii=1:num;
E = [];
r = ii-1;
for jj=1:k;
A(jj)=L(mod(r,4)+1);
r=floor(r/4);
end
E=A;
F=[F;E];
end
kmer = [];
for i = 1:length(Seq)
i
W = [];
for z = 1:4.^k
... |
function target_order = tsp(number, gimbal_position, X, k, first_number)
data = [];
% Compute each angle between current camera orientaton and targets
for j = 1:number
data(j,1)=0;
data(j,2)=j;
oa = sqrt(gimbal_position(1)^2 + gimbal_position(2)^2);
ob = sqrt(X(j,1)^2 + X(j,... |
function flattenedVertices = flattenSurface(vertices, faces)
% Code for mesh flattening is based on (copied from) the Numerical Tours
% http://www.numerical-tours.com/matlab/meshdeform_3_flattening/
% and Graph toolbox linked there.
% G. Peyr, The Numerical Tours of Signal Processing - Advanced Computational Sig... |
classdef conv2d_advection < conv2d
%CONV2D_ADVECTION Summary of this class goes here
% Detailed explanation goes here
properties(Constant)
x0 = -0.5;
y0 = -0.5;
u0 = 0.5;
v0 = 0.5;
end
%% private methods
methods(Access=protected)
function [ sp... |
function [ r ] = Lambda( x_i, F, D )
%x_i: index of x
%F: attributes of all samples
%D: all decisions
% Canculate lambda
r = 1;
for i=1:size(D,1)
if i == x_i
continue
end
if D(i) == D(x_i)
continue
end
r = min(r, Theta_M(R(F... |
classdef Util
% fragments signal and analyse the two different framents
methods (Static)
function ret = regions(locations, length_)
% Create AF_Util with qrs location and signal length
ecg = false(length_, 1);
for I = 1:length(locat... |
clear
load 3Dinitmod
load seiscmap
load png_topo.mat
load tomo.mat
sedlayernum = 1;
crustlayernum = 4;
mantle_layer_thickness = [10*ones(1,10)];
vpvs = 1.8;
depth_prof = [1:1:50, 55:5:100, 110:20:150];
[xi yi] = ndgrid(xnode,ynode);
topo = interp2(grdxi,grdyi,grdtopo,xi,yi);
periods = [tomo.period];
[m n] = size... |
function Int = trapzD(x,F,lower,upper,dim)
%---------------------------------------------------------------------
%---------------------------------------------------------------------
%
% This function performs a trapezoidal integration but with the
% definite integration limits lower and upper.
%
% INPUTS:
%
% x -> ... |
function [ Lhat ] = lda_loocv( features, classes, discrim, whiten )
%lda_loocv Does LOOCV and reports performance for discrim classifiers
% Features is a dxn matrix, classes an 1xn vector of class labels and
% discrim is a struct containing which classifiers to build: lda, dLda,
% qda. Returns Lhat which is a nx1... |
addpath(genpath('helper'));
addpath(genpath('demo'));
addpath(genpath('eigen'));
addpath(genpath('integral'));
addpath(genpath('interpolation'));
addpath(genpath('linear'));
addpath(genpath('nonlinear'));
addpath(genpath('approximation'));
addpath(genpath('ode'));
addpath(genpath('stochastic'));
addpath(genpath('optimi... |
%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Sam Feig
% Vladimir Zhdanov
%
% CSCI 4831/5722
% Homework 2
% Instructor: Ioana Fleming
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Task 1: Getting Correspondences
% Function modified for Task 4 to take n-parameters instead of
% defaulting to 10
function [ output ] = getPoints(img1, img2, n)
... |
% Function to mix two images together using upper and lower contents of the
% frequency space.
%
% This does not work well with the given square and triangle. Use two
% faces.
%
% This was inspired by the following paper but implemented without it:
% http://cvcl.mit.edu/publications/OlivaTorralb_Hybrid_Siggraph06.... |
clear variables;
close all;
clc;
%% Variables
N = 50000;
a = 1/log(6);
x = -2 : 0.1 : 3;
Fx = a./log(x+4);
Y = rand(1,N);
%% Affichage des courbes
plot(x,Fx);
hold on,
[h_emp,xout] = hist(X,10);
I = trapz(xout,h_emp);
bar(xout,h_emp/I);
%% exo2
n = 100000;
Y1 = 1/2 * rand(1,n);
Y2 = 1/2 + 3/2*rand(1,n);
##X1 = ;
##X... |
r = reshape(I(:,:,1),1,[]); %There should be away to easilt index throughout the matrix
g = reshape(I(:,:,2),1,[]);
b = reshape(I(:,:,3),1,[]);
mumberofP = size(r)
points = cell(3,mumberofP);
color = jet(50);
points(1) = r;
points(2) = g;
points(3) = b;
for i = 1:50
%Getting a weird error with my... |
bw1 = imread('esquejeBw3.bmp');
figure(1);
subplot 121; imshow(bw1);
bw = im2bw(bw1);
subplot 122;imshow(bw);
bw = bwareaopen(bw,1000);
prop= regionprops(bw,'all');
hold on
pe = prop.Extrema;
p1 = pe(1,1);
p5 = pe(5,1);
if (p1 > 700) && (p5 > 700)
bw = imrotate(bw,180);
hold on
imshow(bw);
end
prop= regio... |
function fem1ode(N)
%FEM1ODE Stiff problem with a time-dependent mass matrix
if nargin < 1
N = 19;
end
h = pi/(N+1);
y0 = sin(h*(1:N)');
tspan = [0; pi];
% The Jacobian is constant.
e = repmat(1/h,N,1); % e=[(1/h) ... (1/h)];
d = repmat(-2/h,N,1); % d=[(-2/h) ... (-2/h)];
% J is shared with t... |
clear ;
img = imread('apple.jpg');
[H,W,Z] = size(img); % 获取图像大小
I=im2double(img);%将图像类型转换成双精度
res = ones(H,W,Z); % 构造结果矩阵。每个像素点默认初始化为1（白色）
tras = [1 0 0; 0 -1 W; 0 0 1]; % 水平镜像的变换矩阵
for x0 = 1 : H
for y0 = 1 : W
temp = [x0; y0; 1];%将每一点的位置进行缓存
temp = tras * temp; % 根据算法进行，矩阵乘法：转换矩阵乘以原像素位置
... |
function [matVertices] = FindMatVertices(dim, eps)
%FINDMATVERTICES find the vertices of an inf-norm ball of radius eps in the
%matrix space whose dimension is specified by dim.
if nargin < 2
eps = 1;
end
% n: row size; m: column size.
n = dim(1); m = dim(2);
if eps == 0
matVertices = cell(1,1);
matVertice... |
function [ErrsWZD, dErrsdp, BB] = WJMODEL_BBFUN_LOOP(pars, mdi, expdat, K, M, X0, Fv, L, QuadMats, CFUN, Npatches, Nqp, opt)
%WJMODEL_BBFUN_LOOP returns the backbone by doing a full hysteresis loop to
%obtain damping.
%
%Uses quadrature to integrate along the hysteresis loop
% Prestress - From WJ with modifications
... |
%%%%% Optical fiber travel Propagation transmit %%%%%
function dawdz = fiber11(~,aw,~,w,Beta2,Gamma)
at = fft(aw);
m=(0.5*1i)*Beta2.*(w.^2).*aw;
dawdz=m(end)+ifft(+1i*Gamma*(abs(at)).^2.*at);
end |
%% get_id_AnAge
% gets id of AnAge
%%
function id = get_id_AnAge(my_pet, open)
% created 2021/08/03 by Bas Kooijman
%% Syntax
% id = <../get_id_AnAge.m *get_id_Ange*>(my_pet, open)
%% Description
% Gets identifier for Animal Ageing and Longevity Database
%
% Input:
%
% * my_pet: character string with name of a taxon... |
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